Thomas D. Falconer

profile_pic.jpg

Elektrovej, 325, 105

2800 Kgs. Lyngby

København, Danmark

I am a Ph.D. candidate at Danmarks Tekniske Universitet (DTU) within the Energy Markets and Analytics section, at the Department of Wind and Energy Systems, Center for Electric Power and Energy (supervised by Dr. Jalal Kazempour and Dr. Pierre Pinson).

My research interests include mechanism design and the economics of data within a power systems context. This generally inolves problems at the intersection of machine learning, optimization and game theory.

I hold an M.Sc. in Energy Systems and Data Analytics from University College London (Energy and Artifical Intelligence Lab), where I wrote my thesis in collaboration with Invenia Labs, supervised by Dr. Letif Mones.

Before starting my Ph.D., I worked within the Data Science team at Arenko Group developing probabilistic models to forecast wholesale electricity prices and to optimize trading decisions for flexible assets.

news

Jun 22, 2022 Accepted! Our paper T. Falconer and L. Mones, “Leveraging power grid topology in machine learning assisted optimal power flow” has been accepted for publication in the IEEE Transactions on Power Systems.
May 15, 2022 Moved to København to begin a Ph.D. at Danmarks Tekniske Universitet. :books:

selected publications

  1. IEEE TPWRS

    Leveraging power grid topology in machine learning assisted optimal power flow
    Falconer, Thomas, and Mones, Letif
    IEEE Transactions on Power Systems (Early Access), 2022